ai engineering

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Engineering the AI Partnership: Making AI-Accelerated Delivery Reliable

We rebuilt an existing website to be CMS-driven: Strapi owned content and page structure, while a modularised Vue frontend handled rendering and behaviour. Over an 8‑week delivery window, we went from “AI is exciting but unpredictable” to shipping  — by treating AI like a teammate with a clear process, not a magic button. This post is a standalone case study of that evolution: the workflow we designed, the mistakes we hit early, and the system that kept . When we first got...

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From Naive Automation to Intentional Collaboration with AI

When Claude Code landed in our team, we dived right in and jumped on the AI train: we asked it to rebuild the site end-to-end with a CMS behind it. We had to recreate in with , so felt like the obvious move.It produced code fast — and we spent the next two days discovering why “fast output” isn’t the same as a system you can extend, test, and hand over. This post is the story of that failure, and the pivot that...

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AI in Technical Decision-Making: A Field Guide

We had to run discovery, to do it, and to deliver — so instead of debating CMS options in theory, we used AI to and let the client make an evidence-based choice.We were brought into a project to migrate parts of an existing web application into a Content Management System (CMS) so the marketing team could ship content without constant developer involvement.The constraint that shaped everything: we had less than a week to complete discovery (including presenting working prototypes), and then eight...

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